Results 131 to 140 of about 3,556 (261)

Solution‐Processed Two‐Dimensional Indium Oxide on Sodium‐Embedded Alumina for Reconfigurable Optoelectronic Synaptic Transistors

Advanced Functional Materials, EarlyView.
Wafer‐scale two‐dimensioanl In2Se3 oxidized into InOx on sodium‐embedded beta‐alumina enables multifunctional reconfigurable electronics. Sodium ions accumulate within distinct spatial distribution under drain‐controlle and gate‐controlled operation. Drain‐control operation gives controllability of ultraviolet‐driven optoelectronic synaptic conductance
Jinhong Min, Yonghyun Albert Kwon, Hyunbin Kim, Jihyun Kim, Myeongjin Jung, Jaewon Heo, Gwang Ya Kim, Vlastimil Mazanek, Zdeněk Sofer, In Soo Kim, Jeong Ho Cho, Hyesung Park, Sang Min Won, Joohoon Kang   +13 more
wiley   +1 more source

Comparison of deep learning models for real-time neural tissue segmentation in spinal endoscopy. [PDF]

BMC Med Imaging
Rhee W, Lee HR, Chang BS, Chang SY, Kim H.   +4 more
europepmc   +1 more source

Quantifying Subsurface Weak in‐Plane Magnetization of Mixed Phase BiFeO3 by Scanning Nitrogen Vacancy Magnetometry

Advanced Functional Materials, EarlyView.
We use scanning nitrogen vacancy magnetometry to directly image the weak in‐plane magnetic moments in mixed phase BiFeO3 at the nanoscale and quantify the local magnetic moments to be 18.8±2.0 μB/nm2 in the rhombohedral‐like phase and 1.5±0.6 μB/nm2 in the well‐known non‐magnetic tetragonal‐like phase.
Lei Wang, Zhewen Xu, Yuwen Xu, Björn Josteinsson, Simon Josephy, Dawei Zhang, Yunlong Sun, Heung‐Sik Park, Jihun Kim, Kanghyun Chu, Kyung Song, Danyang Wang, Chan‐Ho Yang, Andrea Morales, Jan Seidel   +14 more
wiley   +1 more source

Implantable Ionic Memristors Based on Natural Polymer Heterojunctions

Advanced Functional Materials, EarlyView.
We report an implantable natural polymer‐based ionic memristor composed of hyaluronic acid, chitosan, and PDMS. The device achieved 98.94% accuracy in MNIST classification while reducing training time by 36.8% compared with a conventional artificial neural network (ANN).
Dong‐yup Lee, Byung Ik Park, Gihyeon Yim, Hyunjae Yoo, Sangjun Ma, Jundong Park, Jeong‐Yun Sun   +6 more
wiley   +1 more source

Non-Secretory Gallbladder Paraganglioma: An Incidental Finding on Laparoscopic Cholecystectomy. [PDF]

Cureus
Padumane SR, Lowrey T, Amy E.
europepmc   +1 more source

A Bioinspired Sensory‐CAPode With Dual Functionality: Logic Gate and Real‐Time Biosensing

Advanced Functional Materials, EarlyView.
An electrochemical capacitor diode (CAPode) redefines the frontier of iontronics by seamlessly unifying logic computing and biosensing within a single biocompatible platform. Inspired by nature's own ion‐channel circuitry, this elegant ionic system transforms complex chemical signals into precise electrical responses, paving the way for next‐generation
Hanfeng Zhou, Tianle Zheng, Haolin Jin, Xiongjun Zhou, Jiang Qu, Bilal Riaz, Ahmed Bahrawy, Jiajie Chen, Przemyslaw Galek, Julia Grothe, Stefan Kaskel   +10 more
wiley   +1 more source

Neutrophil Extracellular Traps in Central Nervous System Diseases. [PDF]

Curr Neuropharmacol
Zhu J, Zhu H, Hou W, Liu JY.
europepmc   +1 more source

Mimicking Silent Synapse Recruitment: A SiOx/Cu‐Pancake Memristive Device For Analog Neuromorphic Computing

Advanced Functional Materials, EarlyView.
Electroforming‐free TiN/SiOx/Cu/SiOx/TiN memristive devices exploit pancake‐like Cu nanoparticles embedded in a SiOx double layer to create a heterogeneous Schottky‐barrier landscape. Under bias, oxygen‐vacancy redistribution progressively lowers local barriers and recruits initially inactive Cu‐PC pathways into a parallel conduction ensemble, enabling
Rouven Lamprecht, Ole Gronenberg, Sahitya Yarragolla, Tobias Gergs, Richard Marquardt, Victor Witte, Jürgen Carstensen, George Popkirov, Jan Trieschmann, Lorenz Kienle, Hermann Kohlstedt   +10 more
wiley   +1 more source

Multimodal Deep Learning for Prediction of Progression-Free Survival in Patients with Neuroendocrine Tumors Undergoing ¹⁷⁷Lu-Based Peptide Receptor Radionuclide Therapy. [PDF]

Cancers (Basel)
Baur S, Ruhwedel T, Böke E, Kobus Z, Lishkova G, Wetz C, Amthauer H, Roderburg C, Tacke F, Rogasch JM, Samek W, Jann H, Ma J, Eschrich J.   +13 more
europepmc   +1 more source

Talk 2: Recurrent neural nets and differentiable memory mechanism

, 2016
This past year, RNNs have seen a lot of attention as powerful models that are able to decode sequences from signals. The key component of such methods are the use of a recurrent neural network architecture that is trained end-to-end to optimize the probability of the output sequence given those signals.
openaire   +1 more source